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Introduction to Customer Segmentation with RFM
Python notebook using data from UCI Online Retail II Data Set · 445 views · 1y ago
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10
Ekrem Bayar
Omer Cagri Sayir
nilim
Ramazan Ozer
Murilão
Preston Fan
mahsum ozer
Augustin Boissier
azat karatay
Nazmi Syed
Input
43.51 MB
folder

Data Sources

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      UCI Online Retail II Data Set

      UCI Online Retail II Data Set
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          calendar_view_week

          online_retail_II.xlsx

          online_retail_II.xlsx (43.51 MB)
              calendar_view_week

              Year 2009-2010

              Year 2009-2010 (525k rows)
              calendar_view_week

              Year 2010-2011

              Year 2010-2011 (542k rows)
online_retail_II.xlsx(43.51 MB)
get_app
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TableTotal RowsTotal Columns
Year 2009-20105254618
Year 2010-20115419108
Execution Info
Succeeded
True
Exit Code
0
Used All Space
False
Environment
Container Image (Dockerfile)
Run Time
4.7 seconds
Timeout Exceeded
False
Output Size
0
Accelerator
None
TimeLine #Log Message
2.0s1[NbConvertApp] Converting notebook __notebook__.ipynb to html
4.5s2/opt/conda/lib/python3.7/site-packages/nbconvert/filters/datatypefilter.py:41: UserWarning: Your element with mimetype(s) dict_keys([]) is not able to be represented.
4.5s3 mimetypes=output.keys())
4.5s4[NbConvertApp] Writing 1967251 bytes to __results__.html
4.5s5
Complete. Exited with code 0.

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nilim • Posted on Version 4 of 6 • a year ago • Options •

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wow its a huge work. great effort. @rame1453 👍

Ramazan OzerTopic Author • Posted on Version 5 of 6 • a year ago • Options •

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Thank you, I am still working on. Not finish yet :)

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